Alternatives and similar repositories for Heteroscedastic-BO

Users that are interested in Heteroscedastic-BO are comparing it to the libraries listed below

• ulissigroup / uncertainty_benchmarking
  Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.
  ☆42Updated 4 years ago
• Ryan-Rhys / Constrained-Bayesian-Optimisation-for-Automatic-Chemical-Design
  Code to accompany the paper "Constrained Bayesian Optimisation for Automatic Chemical Design" https://pubs.rsc.org/en/content/articlehtml…
  ☆51Updated 2 years ago
• henrymoss / BOSS
  Bayesian Optimisation for String Spaces
  ☆24Updated 3 years ago
• Ryan-Rhys / FlowMO
  Library for training Gaussian Processes on Molecules
  ☆36Updated 3 years ago
• samuelstanton / conformal-bayesopt
  Bayesian optimization with conformal coverage guarantees
  ☆28Updated 2 years ago
• clarafy / conformal-for-design
  ☆31Updated 2 years ago
• PV-Lab / Benchmarking
  Benchmarking
  ☆30Updated 3 years ago
• PV-Lab / BayesProcess
  Physics informed Bayesian network + autoencoder for matching process / variable / performance in solar cells.
  ☆32Updated 3 years ago
• cambridge-mlg / weighted-retraining
  ☆44Updated 2 years ago
• wwang2 / Coarse-Graining-Auto-encoders
  ☆40Updated 3 years ago
• LarsHoldijk / SOCTransitionPaths
  ☆31Updated 2 years ago
• ma921 / BASQ
  (NeurIPS 2022) Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
  ☆19Updated last year
• aspuru-guzik-group / olympus
  Olympus: a benchmarking framework for noisy optimization and experiment planning
  ☆88Updated 8 months ago
• usccolumbia / materialsUQ
  Uncertainty Quantification for Materials Property Prediction: a Benchmark Study
  ☆16Updated 11 months ago
• dholzmueller / bmdal_reg
  Deep Batch Active Learning for Regression
  ☆68Updated 9 months ago
• ma921 / SOBER
  Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration
  ☆28Updated 2 months ago
• senya-ashukha / simple-equivariant-gnn
  A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks
  ☆132Updated 3 years ago
• mbilos / stribor
  Library for normalizing flows and neural flows.
  ☆24Updated 3 years ago
• facebookresearch / morbo
  Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces
  ☆58Updated 2 years ago
• OptiMaL-PSE-Lab / REINFORCE-PSE
  Reinforcement learning for batch bioprocess optimization (Computers & Chemical Engineering, 2020)
  ☆13Updated 3 years ago
• PV-Lab / autoXRD
  Automatic XRD classification for thin-film materials using CNNs, Class Activation Maps and Data Augmentation
  ☆50Updated 5 years ago
• samuelstanton / lambo
  Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)
  ☆71Updated last year
• lamalab-org / pyepal
  Multiobjective active learning with tunable accuracy/efficiency tradeoff and clear stopping criterion.
  ☆40Updated 4 months ago
• yucenli / bnn-bo
  Bayesian Neural Network Surrogates for Bayesian Optimization
  ☆53Updated last year
• facebookresearch / bo_pr
  Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
  ☆73Updated 2 years ago
• gmum / graph-representations
  Comparing graph representations for molecular features prediction
  ☆24Updated 2 years ago
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆72Updated 4 years ago
• google-deepmind / flows_for_atomic_solids
  ☆51Updated 2 years ago
• cog-imperial / SnAKe
  Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".
  ☆17Updated last year
• aspuru-guzik-group / phoenics
  Phoenics: Bayesian optimization for efficient experiment planning
  ☆93Updated 6 years ago